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A Dive into the Basics of Big Data Storage with HDFS

Analytics Vidhya

It provides high-throughput access to data and is optimized for […] The post A Dive into the Basics of Big Data Storage with HDFS appeared first on Analytics Vidhya. It is a core component of the Apache Hadoop ecosystem and allows for storing and processing large datasets across multiple commodity servers.

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Managing Database Access Control For Teams With strongDM

Data Engineering Podcast

Summary Controlling access to a database is a solved problem… right? It can be straightforward for small teams and a small number of storage engines, but once either or both of those start to scale then things quickly become complex and difficult to manage. What are some of the most interesting workarounds that you have seen?

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How to reduce your Snowflake cost

Start Data Engineering

Analyze usage and optimize table data storage 3.2.1. Save on unnecessary costs by managing access control 3. Quick wins by changing settings 3.1.1. Update warehouse settings 3.2. Identify expensive queries and optimize them 3.2.1.1. Identify expensive queries with query_history 3.2.1.2. Optimize expensive queries 3.2.2.

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Shift Left: Headless Data Architecture, Part 1

Confluent

A headless data architecture separates data storage, management, optimization, and access from services that write, process, and query it—creating a single point of access control.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics.

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They Handle 500B Events Daily. Here’s Their Data Engineering Architecture.

Monte Carlo

When you click on a show in Netflix, you’re setting off a chain of data-driven processes behind the scenes to create a personalized and smooth viewing experience. As soon as you click, data about your choice flows into a global Kafka queue, which Flink then uses to help power Netflix’s recommendation engine.

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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. Striim, for instance, facilitates the seamless integration of real-time streaming data from various sources, ensuring that it is continuously captured and delivered to big data storage targets.